Thank you, please also share it among your network. How can I contact you guys ? I was thinking of having a fireside chat about Docling with anyone from your team , if you like, thanks.
This is where the small VRAM , consumer GPUs get the opportunity to significantly boost quality of llm responses more than we've seen in a long time! Very exciting times. I wonder if it can be used to boost agentic function calling capabilities, would open up much improved agentic coding potential in plugins like cline (claude-dev) :)
Thank you but in the future I would prefer to have two distinct videos, one that shows install steps, and another that shows what the tool does and how to use it
Excellent Video and library. You always have something new to show us. Thanks. Qs: How would you vectorize the PDF so that we can build RAG applications. I saw some mention about integration with LlamaIndex and Langchain.
Thanks for kind words. RAG is certainly a usecase as I mentioned in video. I have various videos covering that part already, please search the channel. Thanks.
Appreciate the hard work on the channel btw. I don't know how you pump out so much quality content 👍
I appreciate that!
Concise, hands-on, informative --> great contet
I appreciate that!
Thanks for highlighting our work, feel free to contact us any time! Awesome video!
Thank you, please also share it among your network. How can I contact you guys ? I was thinking of having a fireside chat about Docling with anyone from your team , if you like, thanks.
why why so cute mascot aw.... that cute duck
indeed
This is where the small VRAM , consumer GPUs get the opportunity to significantly boost quality of llm responses more than we've seen in a long time! Very exciting times. I wonder if it can be used to boost agentic function calling capabilities, would open up much improved agentic coding potential in plugins like cline (claude-dev) :)
This is great, thank you.
you are very welcome
Thank you but in the future I would prefer to have two distinct videos, one that shows install steps, and another that shows what the tool does and how to use it
Can I use it for invoice data extraction like converting the invoice in markdown/json and then feed to LLM ?
Can we do it with any other vector database. I am get errors with chromadb and milvuslite is not available in windows. Please help?
awesome work! Can I run without the GPU?
Yes, of course
Thanks sir
So nice of you
Excellent Video and library. You always have something new to show us. Thanks. Qs: How would you vectorize the PDF so that we can build RAG applications. I saw some mention about integration with LlamaIndex and Langchain.
Thanks for kind words. RAG is certainly a usecase as I mentioned in video. I have various videos covering that part already, please search the channel. Thanks.
@@fahdmirza I like your channel very much.
thanks
You are welcome.
Is there a UI for Docling?
plz search my channel, I have done various videos on it
Can this be used programmatically? Within a workflow of an Agentic app?
yes definitely, please see towards the end of video, where i show python code. thanks.
Can you make an example of RAG using this tool?
I already have few videos around it on the channel, please search.
Docling is slow, for any project that really wants to scale using Docling and waiting for 30-85 seconds per page is extremely slow